Triple

T10682530
Position Surface form Disambiguated ID Type / Status
Subject Meryl Streep E251792 entity
Predicate hasChild P369 FINISHED
Object Henry Wolfe E164688 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Henry Wolfe | Statement: [Meryl Streep, hasChild, Henry Wolfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Wolfe
Context triple: [Meryl Streep, hasChild, Henry Wolfe]
  • A. Henry Wolfe chosen
    Henry Wolfe is an American musician and actor known for his work as a singer-songwriter and for being the son of acclaimed actress Meryl Streep.
  • B. Henry Holbrook
    Henry Holbrook was a 19th-century Canadian politician and businessman who served as mayor of New Westminster, British Columbia.
  • C. Arthur Winslow
    Arthur Winslow is the principled Edwardian father in Terence Rattigan’s play "The Winslow Boy," who risks his family’s security to clear his son’s name.
  • D. George Holbrook
    George Holbrook was an American clockmaker and bell founder known for producing church bells and tower clocks in the 19th century.
  • E. James Sibley
    James Sibley was a benefactor whose contributions to healthcare led to a major Washington, D.C. hospital being named in his honor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb07626988190a46d8a54eda156f5 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:10 p.m.